Evaluating himawari-8 cloud products using shipborne and CALIPSO observations:Cloud-top height and cloud-top temperature

• Published in: Journal of Atmospheric and Oceanic Technology
• Main Authors: Huang, Y. I., Siems, Steven, Manton, Michael, Protat, Alain, Majewski, Leon, Nguyen, Hanh
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2019
• Subjects: Southern Ocean
• Online Access: https://research.monash.edu/en/publications/e6a9f72a-5065-4580-8e1f-93bad5b67119; https://doi.org/10.1175/JTECH-D-18-0231.1; https://researchmgt.monash.edu/ws/files/315540045/295069889_oa.pdf; http://www.scopus.com/inward/record.url?scp=85076551698&partnerID=8YFLogxK

Cloud-top height (CTH) and cloud-top temperature (CTT) retrieved from the Himawari-8 observations are evaluated using the active shipborne radar–lidar observations derived from the 31-day Clouds, Aerosols, Precipitation Radiation and Atmospheric Composition over the Southern Ocean (CAPRICORN) experiment in 2016 and 1-yr observations from the spaceborne Cloud–Aerosol Lidar with Orthogonal Polarization (CALIOP) cloud product over a large sector of the Southern Ocean. The results show that the Himawari-8 CTH (CTT) retrievals agree reasonably well with both the shipborne estimates, with a correlation coefficient of 0.837 (0.820), a mean bias error of 0.226 km (-2.5268C), and an RMSE of 1.684 km (10.0698C). In the comparison with CALIOP, the corresponding quantities are found to be 0.786 (0.480),-0.570 km (1.3438C), and 2.297 km (25.1768C). The Himawari-8 CTH (CTT) generally falls between the physical CTHs observed by CALIOP and the shipborne radar–lidar estimates. However, major systematic biases are also identified. These errors include (i) a low (warm) bias in CTH (CTT) for warm liquid cloud type, (ii) a cold bias in CTT for supercooled liquid water cloud type, (iii) a lack of CTH at ~3 km that does not have a corresponding gap in CTT, (iv) a tendency of misclassifying some low-/mid-top clouds as cirrus and overlap cloud types, and (v) a saturation of CTH (CTT) around 10 km (-408C), particularly for cirrus and overlap cloud types. Various challenges that underpin these biases are also explored, including the potential of parallax bias, low-level inversion, and cloud heterogeneity.